/* Copyright (c) 1997-2019
   Ewgenij Gawrilow, Michael Joswig, and the polymake team
   Technische Universität Berlin, Germany
   https://polymake.org

   This program is free software; you can redistribute it and/or modify it
   under the terms of the GNU General Public License as published by the
   Free Software Foundation; either version 2, or (at your option) any
   later version: http://www.gnu.org/licenses/gpl.txt.

   This program is distributed in the hope that it will be useful,
   but WITHOUT ANY WARRANTY; without even the implied warranty of
   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
   GNU General Public License for more details.
--------------------------------------------------------------------------------
*/

#ifndef POLYMAKE_GENERIC_IO_H
#define POLYMAKE_GENERIC_IO_H

#include "polymake/internal/sparse.h"
#include "polymake/internal/shared_object.h"
#include "polymake/internal/matrix_rows_cols.h"
#include <typeinfo>

namespace pm {

template <typename> class CheckEOF {};
template <typename> class TrustedValue {};
template <typename> class SparseRepresentation {};
template <typename> class LookForward {};

template <typename T>
struct ignore_in_composite : std::false_type {};

template <>
struct ignore_in_composite<nothing> : std::true_type {};

template <typename T>
struct ignore_in_composite<const T> : ignore_in_composite<T> {};

template <typename T>
struct ignore_in_composite<T&> : ignore_in_composite<T> {};

template <typename T,
          bool is_temp = object_traits<typename attrib<T>::minus_const>::is_temporary || is_masquerade<T>::value>
struct item4insertion {
   using type = typename attrib<T>::minus_const;
};

template <typename T1, typename T2>
struct item4insertion<pair<T1, T2>, false> {
   using type = pair<typename attrib<T1>::minus_const, typename attrib<T2>::minus_const>;
};

template <typename T>
struct item4insertion<T, true> {
   using type = typename object_traits<T>::persistent_type;
};

template <typename T, template <typename> class Property, typename Model=typename object_traits<T>::model>
struct structural_helper : std::false_type {};

template <typename T, template <typename> class Property>
struct structural_helper<T, Property, is_container>
   : Property<typename T::value_type> {};

template <typename T, template <typename> class Property>
struct structural_helper<T, Property, is_composite>
   : list_accumulate_unary<list_and, Property, typename list_transform_unary<deref, typename object_traits<T>::elements>::type> {};

template <typename T> struct is_parseable;
template <typename T> struct is_printable;
template <typename T> struct is_parseable_or_serializable;
template <typename T> struct is_printable_or_serializable;
template <typename T> struct is_readable;
template <typename T> struct is_writeable;

template <typename Top, typename Options, int subst_pos=0>
class GenericIOoptions {
   template <typename NewOptions>
   struct subst_helper : mreplace_template_parameter<Top, subst_pos, NewOptions> {};

   template <typename OptionInst>
   struct set_helper : subst_helper<typename mtagged_list_replace<Options, OptionInst>::type> {};

   template <typename OptionInst>
   struct get_helper;

   template <template <typename> class TTag, typename TDefault>
   struct get_helper<TTag<TDefault>>
      : mtagged_list_extract<Options, TTag, TDefault> {};

   template <template <typename> class NewOption, typename OptionInst>
   struct copy_helper : set_helper< NewOption<typename get_helper<OptionInst>::type> > {};

   template <template <typename> class NewOption, typename OptionInst>
   struct neg_helper : set_helper< NewOption<typename bool_not<typename get_helper<OptionInst>::type>::type> > {};
public:
   template <typename OptionInst>
   static constexpr bool get_option(OptionInst) { return get_helper<OptionInst>::type::value; }

   Top& set_option() { return static_cast<Top&>(*this); }

   template <typename OptionInst>
   typename set_helper<OptionInst>::type&
   set_option(OptionInst)
   {
      return reinterpret_cast<typename set_helper<OptionInst>::type&>(static_cast<Top&>(*this));
   }

   template <template <typename> class NewOption, typename OptionInst>
   typename copy_helper<NewOption,OptionInst>::type&
   copy_option(OptionInst)
   {
      return reinterpret_cast<typename copy_helper<NewOption, OptionInst>::type&>(static_cast<Top&>(*this));
   }

   template <template <typename> class NewOption, typename OptionInst>
   typename neg_helper<NewOption,OptionInst>::type&
   copy_neg_option(OptionInst)
   {
      return reinterpret_cast<typename neg_helper<NewOption, OptionInst>::type&>(static_cast<Top&>(*this));
   }
};

template <typename Input>
class GenericInput {
public:
   static bool is_tuple() { return false; }
   Input& top() { return static_cast<Input&>(*this); }
   Input& top() const { return static_cast<Input&>(const_cast<GenericInput&>(*this)); }
};

template <typename Output>
class GenericOutput {
public:
   static bool is_tuple() { return false; }
   Output& top() { return static_cast<Output&>(*this); }
   Output& top() const { return static_cast<Output&>(const_cast<GenericOutput&>(*this)); }
};

namespace io_test {

DeclTypedefCHECK(unknown_columns_type);

template <typename T, bool enable=has_unknown_columns_type<T>::value>
struct unknown_columns : int_constant<std::is_same<typename T::unknown_columns_type, void>::value+0> {};

template <typename T>
struct unknown_columns<T, false> : int_constant<-1> {};

struct fallback {
   template <typename Any>
   fallback(Any&&);
};

nothing& operator>> (const fallback&, const fallback&);
nothing& operator<< (const fallback&, const fallback&);

#define DeclHasIOoperatorCHECK(name, arrow)                       \
template <typename Data, typename Stream, typename Result=Stream>    \
struct has_##name##_operator_impl {                                  \
   struct helper {                                                   \
      static std::true_type Test(Result&);                           \
      static std::false_type Test(nothing&);                         \
   };                                                                   \
   using type = decltype(helper::Test( std::declval<Stream&>() arrow std::declval<Data&>() )); \
}

DeclHasIOoperatorCHECK(input,>>);
DeclHasIOoperatorCHECK(output,<<);

template <typename Input, typename Data>
using has_generic_input_operator
   = typename has_input_operator_impl<Data, GenericInput<Input>, Input>::type;

template <typename Output, typename Data>
using has_generic_output_operator
   = typename has_output_operator_impl<Data, GenericOutput<Output>, Output>::type;

template <typename Data>
using has_std_input_operator
   = typename has_input_operator_impl<Data, std::istream>::type;

template <typename Data>
using has_std_output_operator
   = typename has_output_operator_impl<Data, std::ostream>::type;

template <typename Container>
struct has_insert {
// std::<something>::insert takes a const_iterator since C++11
   using const_it = typename Container::const_iterator;
   using value_type = typename Container::value_type;

   struct helper {
      static std::true_type Test(const typename Container::iterator&);
      static std::true_type Test(const std::pair<typename Container::iterator, bool>&);
      static std::false_type Test(nothing&);
   };
   struct mix_in : public Container {
      using Container::insert;
      nothing& insert(const fallback&);
      nothing& insert(const_it, const fallback&);
   };

   using without_position = decltype(helper::Test(std::declval<mix_in&>().insert(std::declval<const value_type&>())));
   using with_position = decltype(helper::Test(std::declval<mix_in&>().insert(std::declval<const_it>(), std::declval<const value_type&>())));
};

template <typename Apparent> struct as_list {};
struct as_set {};
struct by_insertion : as_set {};
template <int resizeable, bool allow_sparse> struct as_array {};
template <int resizeable> struct as_sparse : as_array<resizeable, true> {};
template <int resizeable> struct as_matrix {};

template <typename Data, bool trusted = true,
          int dim = object_traits<Data>::dimension>
struct input_mode;

template <typename Data, bool trusted,
          bool ordered_items = (has_insert<Data>::with_position::value && trusted) || !has_insert<Data>::without_position::value,
          bool mutable_items = is_mutable<typename iterator_traits<typename Data::iterator>::reference>::value>
struct input_list {
   // primary: ordered items, mutable
   using type = as_list<Data>;
};

template <typename Data, bool trusted>
struct input_list<Data, trusted, true, false> {
   // ordered items, immutable
   using type = as_set;
};

template <typename Data, bool trusted, bool mutable_items>
struct input_list<Data, trusted, false, mutable_items> {
   // !ordered items || !trusted
   using type = by_insertion;
};

template <typename Data, bool trusted,
          bool has_random_access = is_derived_from<typename container_traits<Data>::category, random_access_iterator_tag>::value,
          bool is_sparse = check_container_feature<Data, sparse>::value,
          int is_resizeable = object_traits<Data>::is_resizeable,
          bool mutable_data = is_mutable<typename iterator_traits<typename Data::iterator>::reference>::value>
struct input_mode1 : input_list<Data, trusted> {};

template <typename Data, bool trusted, int is_resizeable>
struct input_mode1<Data, trusted, true, false, is_resizeable, true> {     // random, !sparse
   typedef as_array<is_resizeable, object_traits<Data>::allow_sparse> type;
};

template <typename Data, bool trusted, bool has_random_access, int is_resizeable, bool mutable_data>
struct input_mode1<Data, trusted, has_random_access, true, is_resizeable, mutable_data> {       // sparse
   static const int element_dim = object_traits<typename Data::value_type>::total_dimension;
   using type = std::conditional_t<element_dim==0, as_sparse<is_resizeable>, as_array<is_resizeable, false>>;
};

template <typename Data, bool trusted>
struct input_mode1<Data, trusted, false, false, 0, true> {      // !random, !resizeable, mutable
   using type = as_array<0, false>;
};

template <typename Data, bool trusted>
struct input_mode<Data, trusted, 1> : input_mode1<Data, trusted> {};

template <typename Data, bool trusted>
struct input_mode<Data, trusted, 2> {
   using type = as_matrix<object_traits<Data>::is_resizeable>;
};

} // end namespace io_test

template <typename Input>
class GenericInputImpl : public GenericInput<Input> {
   template <typename> friend class GenericInputImpl;
public:
   typedef GenericInputImpl generic_impl;

   template <typename Data>
   Input& operator>> (Data& data)
   {
      dispatch_generic_io(concrete(data), io_test::has_generic_input_operator<Input, Data>());
      return this->top();
   }

protected:
   template <typename Data>
   void dispatch_generic_io(Data& data, std::true_type)
   {
      static_cast<GenericInput<Input>&>(*this) >> data;
   }

   template <typename Data>
   void dispatch_generic_io(Data& data, std::false_type)
   {
      // no generic input operator defined
      dispatch_serialized(data, has_serialized<Data>(), bool_constant<is_readable<Data>::value>());
   }

   template <typename Data>
   void dispatch_serialized(Data& data, std::true_type, std::true_type)
   {
      if (this->top().is_tuple())
         this->top() >> serialize(data);
      else
         dispatch_serialized(data, std::false_type(), bool_constant<is_parseable<Data>::value || structural_helper<Data, is_parseable_or_serializable>::value>());
   }

   template <typename Data>
   void dispatch_serialized(Data& data, std::false_type, std::true_type)
   {
      // no serialization, can read as is
      dispatch_retrieve(data, typename object_traits<Data>::model());
   }

   template <typename Data, typename THasSerialized>
   void dispatch_serialized(Data& data, THasSerialized, std::false_type)
   {
      // no serialization, no input operators
      throw std::invalid_argument((has_serialized<Data>::value ? "only serialized input possible for " : "no input operators known for ") + legible_typename<Data>());
   }

   template <typename Data, typename Model>
   void dispatch_retrieve(Data& data, Model)
   {
      this->top().fallback(data);
   }

   template <typename Data>
   void dispatch_retrieve(Data& data, is_container)
   {
      retrieve_container(this->top(), data, typename io_test::input_mode<Data, Input::get_option(TrustedValue<std::true_type>())>::type());
   }

   template <typename Data>
   void dispatch_retrieve(Data& data, is_composite)
   {
      retrieve_composite(this->top(), data);
   }
};

template <typename Input, typename Data, typename Masquerade>
int retrieve_container(Input& src, Data& data, io_test::as_list<Masquerade>)
{
   auto&& c=src.begin_list(reinterpret_cast<Masquerade*>(&data));
   typename Data::iterator dst=data.begin(), end=data.end();
   int size=0;

   while (dst != end && !c.at_end()) {
      c >> *dst;
      ++dst;  ++size;
   }

   if (c.at_end()) {
      data.erase(dst, end);
   } else {
      do {
         c >> *data.insert(end, typename Data::value_type());
         ++size;
      } while (!c.at_end());
   }

   return size;
}

template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_set)
{
   data.clear();
   auto&& c = src.begin_list(&data);
   const auto end = data.end();
   typename item4insertion<typename Data::value_type>::type item{};
   while (!c.at_end()) {
      c >> item;
      data.insert(end, item);
   }
}

template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::by_insertion)
{
   data.clear();
   auto&& c = src.begin_list(&data);
   typename item4insertion<typename Data::value_type>::type item{};
   while (!c.at_end()) {
      c >> item;
      data.insert(item);
   }
}

template <typename Value, typename CursorRef>
class list_reader {
protected:
   using alias_t = alias<CursorRef>;
   using cursor_type = typename deref<CursorRef>::type;
   alias_t cursor;
   Value item;
   bool end_;

   void load()
   {
      auto&& c=*cursor;
      if (c.at_end())
         end_=true;
      else
         c >> item;
   }
public:
   template <typename Arg, typename=std::enable_if_t<std::is_constructible<alias_t, Arg>::value>>
   explicit list_reader(Arg&& cursor_arg)
      : cursor(std::forward<Arg>(cursor_arg))
      , end_(false)
   {
      load();
   }

   using iterator_category = input_iterator_tag;
   using value_type = Value;
   using reference = const Value&;
   using pointer = const Value*;
   using difference_type = ptrdiff_t;

   reference operator* () const { return item; }
   pointer operator-> () const { return &item; }

   bool at_end() const { return end_; }

   list_reader& operator++ () { load(); return *this; }
private:
   list_reader& operator++ (int);
};

template <typename Input, typename Data>
void fill_dense_from_dense(Input& src, Data& data)
{
   for (auto dst=entire(data); !dst.at_end(); ++dst) {
      auto&& dst_item=*dst;
      src >> dst_item;
   }
   src.finish();
}

template <typename Input, typename Data>
void fill_dense_from_sparse(Input& src, Data& data, const int index_bound)
{
   const auto zero = zero_value<typename Data::value_type>();
   auto dst = data.begin();
   const auto dst_end = data.end();
   int i = 0;
   if (src.is_ordered()) {
      while (!src.at_end()) {
         for (const int pos = src.index(index_bound);  i < pos;  ++i, ++dst)
            *dst = zero;
         src >> *dst;
         ++i; ++dst;
      }
      for (; dst != dst_end; ++dst)
         *dst = zero;
   } else {
      data.fill(zero);
      dst = data.begin();
      i = 0;
      while (!src.at_end()) {
         const int pos = src.index(index_bound);
         std::advance(dst, pos - i);
         src >> *dst;
         i = pos;
      }
   }
}

template <typename Input, typename Data>
void fill_sparse_from_dense(Input& src, Data& data)
{
   auto dst = entire(data);
   typename Data::value_type v{};
   int i = -1;
   if (!dst.at_end()) {
      for (;;) {
         ++i; src >> v;
         if (!is_zero(v)) {
            if (dst.index() > i) {
               data.insert(dst, i, v);
            } else {
               *dst = v; ++dst;
               if (dst.at_end()) break;
            }
         } else if (dst.index() == i) {
            data.erase(dst++);
            if (dst.at_end()) break;
         }
      }
   }
   while (!src.at_end()) {
      ++i; src >> v;
      if (!is_zero(v))
         data.insert(dst, i, v);
   }
}

template <typename Input, typename Data, typename LimitDim>
void fill_sparse_from_sparse(Input& src, Data& data, const LimitDim& limit_dim, const int index_bound)
{
   if (src.is_ordered()) {
      auto dst = entire(data);
      if (!dst.at_end()) {
         while (!src.at_end()) {
            const int index = src.index(index_bound);
            if (index > dst.index()) {
               do
                  data.erase(dst++);
               while (!dst.at_end() && index > dst.index());
               if (dst.at_end()) {
                  src >> *data.insert(dst, index);
                  break;
               }
            }
            if (index < dst.index()) {
               src >> *data.insert(dst, index);
            } else {
               src >> *dst;
               ++dst;
               if (dst.at_end()) break;
            }
         }
      }
      if (src.at_end()) {
         while (!dst.at_end())
            data.erase(dst++);
      } else {
         do {
            const int index = src.index(index_bound);
            if (index > limit_dim) {
               if (!ignore_in_composite<typename Input::value_type>::value)
                  src.skip_item();
               src.skip_rest(); src.finish();
               break;
            }
            src >> *data.insert(dst, index);
         } while (!src.at_end());
      }
   } else {
      data.fill(zero_value<typename Data::value_type>());
      while (!src.at_end()) {
         const int index = src.index(index_bound);
         typename Data::value_type v{};
         src >> v;
         data.insert(index, std::move(v));
      }
   }
}

template <typename Data>
maximal<int> get_input_limit(Data&) { return maximal<int>(); }

template <typename Input, typename Data>
void resize_and_fill_dense_from_dense(Input& src, Data& data)
{
   data.resize(src.size());
   fill_dense_from_dense(src, data);
}

template <typename Input, typename Data>
void check_and_fill_dense_from_dense(Input& src, Data& data)
{
   if (!Input::get_option(TrustedValue<std::true_type>()) &&
       src.size() != data.size())
      throw std::runtime_error("array input - dimension mismatch");
   fill_dense_from_dense(src, data);
}

template <typename Input, typename Data>
void resize_and_fill_dense_from_sparse(Input& src, Data& data)
{
   const int d = src.get_dim(false);
   if (!Input::get_option(TrustedValue<std::true_type>()) && d < 0)
      throw std::runtime_error("sparse input - dimension missing");
   data.resize(d);
   fill_dense_from_sparse(src, data, d);
}

template <typename Input, typename Data>
void check_and_fill_dense_from_sparse(Input& src, Data& data)
{
   int index_bound = -1;
   if (!Input::get_option(TrustedValue<std::true_type>())) {
      index_bound = data.size();
      const int d = src.get_dim(false);
      if (d >= 0 && d != index_bound)
         throw std::runtime_error("sparse input - dimension mismatch");
   }
   fill_dense_from_sparse(src, data, index_bound);
}

template <typename Input, typename Data>
void resize_and_fill_sparse_from_dense(Input& src, Data& data, std::true_type)
{
   data.resize(src.size());
   fill_sparse_from_dense(src, data);
}

template <typename Input, typename Data>
void resize_and_fill_sparse_from_dense(Input&, Data&, std::false_type)
{
   throw std::runtime_error("expected sparse input");
}

template <typename Input, typename Data>
void check_and_fill_sparse_from_dense(Input& src, Data& data)
{
   if (!Input::get_option(TrustedValue<std::true_type>()) &&
       src.size() != data.dim())
      throw std::runtime_error("array input - dimension mismatch");
   fill_sparse_from_dense(src, data);
}

template <typename Input, typename Data>
void resize_and_fill_sparse_from_sparse(Input& src, Data& data, std::true_type)
{
   const int d = src.get_dim(false);
   if (!Input::get_option(TrustedValue<std::true_type>()) && d < 0)
      throw std::runtime_error("sparse input - dimension missing");
   data.resize(d);
   fill_sparse_from_sparse(src, data, maximal<int>(), d);
}

template <typename Input, typename Data>
void resize_and_fill_sparse_from_sparse(Input& src, Data& data, std::false_type)
{
   const int index_bound = Input::get_option(TrustedValue<std::true_type>()) ? -1 : data.dim();
   fill_sparse_from_sparse(src, data, maximal<int>(), index_bound);
}

template <typename Input, typename Data>
void check_and_fill_sparse_from_sparse(Input& src, Data& data)
{
   int index_bound = -1;
   if (!Input::get_option(TrustedValue<std::true_type>())) {
      index_bound = data.dim();
      const int d = src.get_dim(false);
      if (d >= 0 && d != index_bound)
         throw std::runtime_error("sparse input - dimension mismatch");
   }
   fill_sparse_from_sparse(src, data, get_input_limit(data), index_bound);
}

// resizeable, sparse input allowed
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_array<1, true>)
{
   auto&& c = src.begin_list(&data);
   if (c.sparse_representation())
      resize_and_fill_dense_from_sparse(c.set_option(SparseRepresentation<std::true_type>()), data);
   else
      resize_and_fill_dense_from_dense(c.set_option(SparseRepresentation<std::false_type>()), data);
}

// resizeable, only dense input allowed
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_array<1, false>)
{
   auto&& c = src.begin_list(&data);
   if (!Input::get_option(TrustedValue<std::true_type>()) &&
       c.sparse_representation())
      throw std::runtime_error("sparse input not allowed");
   resize_and_fill_dense_from_dense(c.set_option(SparseRepresentation<std::false_type>()), data);
}

// non-resizeable, sparse input allowed
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_array<0, true>)
{
   auto&& c = src.begin_list(&data);
   if (c.sparse_representation())
      check_and_fill_dense_from_sparse(c.set_option(SparseRepresentation<std::true_type>()), data);
   else
      check_and_fill_dense_from_dense(c.set_option(SparseRepresentation<std::false_type>()).template copy_neg_option<CheckEOF>(TrustedValue<std::true_type>()), data);
}

// non-resizeable, only dense input allowed
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_array<0, false>)
{
   auto&& c = src.begin_list(&data);
   if (!Input::get_option(TrustedValue<std::true_type>()) &&
       c.sparse_representation())
      throw std::runtime_error("sparse input not allowed");
   check_and_fill_dense_from_dense(c.set_option(SparseRepresentation<std::false_type>()).template copy_neg_option<CheckEOF>(TrustedValue<std::true_type>()), data);
}

// resizeable
template <typename Input, typename Data, int is_resizeable>
void retrieve_container(Input& src, Data& data, io_test::as_sparse<is_resizeable>)
{
   auto&& c = src.begin_list(&data);
   if (c.sparse_representation())
      resize_and_fill_sparse_from_sparse(c.set_option(SparseRepresentation<std::true_type>()), data, bool_constant<(is_resizeable>0)>());
   else
      resize_and_fill_sparse_from_dense(c.set_option(SparseRepresentation<std::false_type>()), data, bool_constant<(is_resizeable>0)>());
}

// non-resizeable
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_sparse<0>)
{
   auto&& c = src.begin_list(&data);
   if (c.sparse_representation())
      check_and_fill_sparse_from_sparse(c.set_option(SparseRepresentation<std::true_type>()), data);
   else
      check_and_fill_sparse_from_dense(c.set_option(SparseRepresentation<std::false_type>()).template copy_neg_option<CheckEOF>(TrustedValue<std::true_type>()), data);
}

// matrix can be read without knowing the number of columns in advance
template <typename Input, typename Data>
void resize_and_fill_matrix(Input& src, Data& data, int r, int_constant<0>)
{
   const int c = src.cols(!std::is_same<typename object_traits<typename Data::row_type>::generic_tag, is_set>::value);
   if (c >= 0) {
      data.clear(r, c);
      fill_dense_from_dense(src, rows(data));
   } else {
      typename Data::unknown_columns_type raw_data(r);
      fill_dense_from_dense(src, rows(raw_data));
      data = std::move(raw_data);
   }
}

// the number of columns must be known in advance
template <typename Input, typename Data>
void resize_and_fill_matrix(Input& src, Data& data, int r, int_constant<-1>)
{
   const int c = src.cols(!std::is_same<typename object_traits<typename Data::row_type>::generic_tag, is_set>::value);
   if (c >= 0) {
      data.clear(r, c);
      fill_dense_from_dense(src, rows(data));
   } else {
      throw std::runtime_error("can't determine the number of columns");
   }
}

// the number of columns is not interesting at all (e.g. a symmetric matrix)
template <typename Input, typename Data>
void resize_and_fill_matrix(Input& src, Data& data, int r, int_constant<1>)
{
   data.clear(r, 0);
   fill_dense_from_dense(src, rows(data));
}

// fully resizeable
template <typename Input, typename Data>
void retrieve_container(Input& src, Data& data, io_test::as_matrix<2>)
{
   auto&& c = src.begin_list((Rows<Data>*)0);
   if (!Input::get_option(TrustedValue<std::true_type>()) &&
       c.sparse_representation())
      throw std::runtime_error("sparse input not allowed");
   resize_and_fill_matrix(c, data, c.size(), io_test::unknown_columns<Data>());
}

// resizeable via rows()
template <typename Input, typename Data, int TResizeable>
std::enable_if_t<(TResizeable < 2)>
retrieve_container(Input& src, Data& data, io_test::as_matrix<TResizeable>)
{
   retrieve_container(src, rows(data), io_test::as_array<TResizeable, false>());
}

template <typename T, typename CursorRef>
class composite_reader : public composite_reader<typename list_tail<T>::type, CursorRef> {
protected:
   using base_t = composite_reader<typename list_tail<T>::type, CursorRef>;
   using typename base_t::alias_t;
   static constexpr bool is_last=false;
public:
   using element_type = typename list_head<T>::type;
   using value_type = typename deref<element_type>::type;

   template <typename Arg, typename=std::enable_if_t<std::is_constructible<alias_t, Arg>::value>>
   explicit composite_reader(Arg&& cursor_arg)
      : base_t(std::forward<Arg>(cursor_arg)) {}

   base_t& operator<< (typename attrib<element_type>::plus_ref elem)
   {
      auto&& c=*this->cursor;
      if (c.at_end()) {
         operations::clear<value_type> zero;
         zero(elem);
      } else {
         c >> elem;
      }
      if (base_t::is_last) c.finish();
      return *this;
   }
};

template <typename CursorRef>
class composite_reader<void, CursorRef> {
protected:
   using alias_t = alias<CursorRef>;
   alias_t cursor;

   template <typename Arg, typename=std::enable_if_t<std::is_constructible<alias_t, Arg>::value>>
   composite_reader(Arg&& cursor_arg)
      : cursor(std::forward<Arg>(cursor_arg)) {}

   static const bool is_last=true;
};

template <typename Input, typename Data>
void retrieve_composite(Input& src, Data& data)
{
   typedef typename Input::template composite_cursor<Data>::type cursor_type;
   cursor_type c=src.begin_composite(&data);
   composite_reader<typename object_traits<Data>::elements, typename attrib<cursor_type>::plus_ref> r(c);
   object_traits<Data>::visit_elements(data, r);
}

template <typename Output>
class GenericOutputImpl : public GenericOutput<Output> {
public:
   typedef GenericOutputImpl generic_impl;

   template <typename Data>
   Output& operator<< (const Data& data)
   {
      dispatch_generic_io(concrete(data), io_test::has_generic_output_operator<Output, Data>());
      return this->top();
   }

   template <size_t n>
   Output& operator<< (const char (&s)[n])
   {
      this->top().fallback(s, n-1);
      return this->top();
   }

protected:
   template <typename Data>
   void dispatch_generic_io(const Data& data, std::true_type)
   {
      static_cast<GenericOutput<Output>&>(*this) << data;
   }

   template <typename Data>
   void dispatch_generic_io(const Data& data, std::false_type)
   {
      // no generic output operator defined
      dispatch_serialized(data, has_serialized<Data>(), bool_constant<is_writeable<Data>::value>());
   }

   template <typename Data>
   void dispatch_serialized(const Data& data, std::true_type, std::true_type)
   {
      if (this->top().is_tuple())
         this->top() << serialize(data);
      else
         dispatch_serialized(data, std::false_type(), bool_constant<is_printable<Data>::value || structural_helper<Data, is_printable_or_serializable>::value>());
   }

   template <typename Data>
   void dispatch_serialized(const Data& data, std::false_type, std::true_type)
   {
      // no serialization, can write as is
      dispatch_store(data, typename object_traits<Data>::model());
   }

   template <typename Data, typename THasSerialized>
   void dispatch_serialized(const Data& data, THasSerialized, std::false_type)
   {
      // no serialization, no output operators
      throw std::invalid_argument((has_serialized<Data>::value ? "only serialized output possible for " : "no output operators known for ") + legible_typename<Data>());
   }

   template <typename Data, typename Model>
   void dispatch_store(const Data& data, Model)
   {
      this->top().fallback(data);
   }

   template <typename Data>
   void dispatch_store(const Data& data, is_container)
   {
      dispatch_container(data, int_constant<object_traits<Data>::dimension>());
   }

   template <typename Data>
   void dispatch_container(const Data& data, int_constant<1>)
   {
      store_container(data, bool_constant<check_container_feature<Data, sparse>::value>());
   }

   template <typename Data>
   void dispatch_container(const Data& data, int_constant<2>)
   {
      dispatch_store(rows(data), is_container());
   }

   template <typename Data>
   void store_container(const Data& data, std::false_type)
   {
      store_list(data);
   }

   template <typename Data>
   void store_container(const Data& data, std::true_type)
   {
      const int choose_sparse=this->top().choose_sparse_representation();
      if (choose_sparse>0 || (choose_sparse==0 && data.prefer_sparse_representation()))
         store_sparse(data);
      else
         store_dense(data, typename object_traits<typename Data::value_type>::model());
   }

   template <typename Data>
   void store_dense(const Data& data, is_scalar)
   {
      store_list(data);
   }

   template <typename Data, typename Model>
   void store_dense(const Data& data, Model)
   {
      auto&& c=this->top().begin_list(&data);
      int ord=0;
      for (auto src=data.begin(); !src.at_end(); ++src, ++ord) {
         for (; ord < src.index(); ++ord)
            c.non_existent();
         c << *src;
      }
      for (const int d=data.dim(); ord<d; ++ord)
         c.non_existent();
   }

   template <typename Data>
   void dispatch_store(const Data& data, is_composite)
   {
      store_composite(data);
   }

   static constexpr int choose_sparse_representation() { return 0; }

public:
   template <typename Data>
   void store_list(const Data& data)
   {
      this->template store_list_as<Data>(data);
   }

   template <typename Data>
   void store_sparse(const Data& data)
   {
      this->template store_sparse_as<Data>(data);
   }

   template <typename Data>
   void store_composite(const Data& data);

   template <typename Masquerade, typename Data>
   void store_list_as(const Data& data);

   template <typename Masquerade, typename Data>
   void store_sparse_as(const Data& data);
};

template <typename Output>
template <typename Masquerade, typename Data>
void GenericOutputImpl<Output>::store_list_as(const Data& data)
{
   auto&& c=this->top().begin_list(reinterpret_cast<const Masquerade*>(&data));
   for (auto src=entire<dense>(data); !src.at_end(); ++src)
      c << *src;
   c.finish();
}

template <typename Iterator>
class indexed_pair : public Iterator {
protected:
   indexed_pair();
   ~indexed_pair();
};

template <typename Iterator>
struct spec_object_traits< indexed_pair<Iterator> >
   : spec_object_traits<is_composite> {
   typedef Iterator masquerade_for;
   typedef cons<int, typename iterator_traits<Iterator>::reference> elements;
   template <typename Visitor>
   static void visit_elements(const indexed_pair<Iterator>& it, Visitor& v)
   {
      v << it.index() << *it;
   }
};

template <typename Output>
template <typename Masquerade, typename Data>
void GenericOutputImpl<Output>::store_sparse_as(const Data& data)
{
   auto&& c=this->top().begin_sparse(reinterpret_cast<const Masquerade*>(&data));
   for (auto src=data.begin();  !src.at_end(); ++src)
      c << src;
   c.finish();
}

template <typename T, typename CursorRef>
class composite_writer : public composite_writer<typename list_tail<T>::type, CursorRef> {
protected:
   using base_t = composite_writer<typename list_tail<T>::type, CursorRef>;
   using typename base_t::alias_t;
   static constexpr bool is_last=false;
public:
   using element_type = typename list_head<T>::type;

   template <typename Arg, typename=std::enable_if_t<std::is_constructible<alias_t, Arg>::value>>
   explicit composite_writer(Arg&& cursor_arg)
      : base_t(std::forward<Arg>(cursor_arg)) {}

   base_t& operator<< (typename attrib<element_type>::plus_const_ref elem)
   {
      auto&& c=*this->cursor;
      c << elem;
      if (base_t::is_last) c.finish();
      return *this;
   }
};

template <typename CursorRef>
class composite_writer<void, CursorRef> {
protected:
   using alias_t = alias<CursorRef>;
   alias_t cursor;

   template <typename Arg, typename=std::enable_if_t<std::is_constructible<alias_t, Arg>::value>>
   explicit composite_writer(Arg&& cursor_arg)
      : cursor(std::forward<Arg>(cursor_arg)) {}

   static const bool is_last=true;
};

template <typename Output>
template <typename Data>
void GenericOutputImpl<Output>::store_composite(const Data& data)
{
   typedef typename Output::template composite_cursor<Data>::type cursor_type;
   cursor_type c=this->top().begin_composite(&data);
   composite_writer<typename object_traits<Data>::elements, typename attrib<cursor_type>::plus_ref> w(c);
   object_traits<Data>::visit_elements(data, w);
}

template <typename Output>
Output& operator<< (GenericOutput<Output>& os, const nothing&)
{
   return os.top();
}

template <typename Input>
Input& operator>> (GenericInput<Input>& is, const nothing&)
{
   return is.top();
}

// TODO: remove this
template <typename Container>
class IO_Array : public Container {
protected:
   IO_Array();
   ~IO_Array();

   template <typename Output>
   void output(Output& os) const
   {
      os.template store_list_as<IO_Array>(static_cast<const Container&>(*this));
   }
public:
   template <typename Output> friend
   Output& operator<< (GenericOutput<Output>& os, const IO_Array& x)
   {
      x.output(os.top());
      return os.top();
   }
};

template <typename Container>
struct redirect_object_traits< IO_Array<Container> > : object_traits<Container> {
   typedef Container masquerade_for;
   static const bool is_temporary=false;
   static const IO_separator_kind IO_separator=IO_sep_containers;
};

// TODO: remove this
template <typename Container>
class IO_List : public Container {
protected:
   IO_List();
   ~IO_List();

   template <typename Output>
   void output(Output& os) const
   {
      os.template store_list_as<IO_List>(static_cast<const Container&>(*this));
   }
public:
   template <typename Output> friend
   Output& operator<< (GenericOutput<Output>& os, const IO_List& x)
   {
      x.output(os.top());
      return os.top();
   }
};

template <typename Container>
struct redirect_object_traits< IO_List<Container> > : object_traits<Container> {
   typedef Container masquerade_for;
   static const bool is_temporary=false;
   static const IO_separator_kind IO_separator=IO_sep_inherit;
};

// TODO: remove this
template <typename Container>
class IO_Sparse : public ensure_features<Container, pure_sparse>::container {
protected:
   IO_Sparse();
   ~IO_Sparse();

   template <typename Output>
   void output(Output& os) const
   {
      os.template store_sparse_as<IO_Sparse>(static_cast<const typename ensure_features<Container, pure_sparse>::container&>(*this));
   }
public:
   template <typename Output> friend
   Output& operator<< (GenericOutput<Output>& os, const IO_Sparse& x)
   {
      x.output(os.top());
      return os.top();
   }
};

template <typename Container>
struct redirect_object_traits< IO_Sparse<Container> > : object_traits<Container> {
   typedef Container masquerade_for;
   static const bool is_temporary=false;
};

template <typename Container>
struct check_container_feature<IO_Sparse<Container>, pure_sparse> : std::true_type {};

template <typename Container>
const IO_Array<Container>& as_array(const Container& c)
{
   return reinterpret_cast<const IO_Array<Container>&>(c);
}

template <typename Container>
const IO_List<Container>& as_list(const Container& c)
{
   return reinterpret_cast<const IO_List<Container>&>(c);
}

template <typename Container>
const IO_Sparse<Container>& as_sparse(const Container& c)
{
   return reinterpret_cast<const IO_Sparse<Container>&>(c);
}

} // end namespace pm

namespace polymake {
   using pm::GenericInput;
   using pm::GenericOutput;
   using pm::as_array;
   using pm::as_list;
   using pm::as_sparse;
}

#include "polymake/internal/PlainParser.h"

namespace pm {

template <typename T>
struct is_parseable {
   typedef typename deref<T>::type value_type;
   static const bool value=io_test::has_std_input_operator<value_type>::value ||
                           io_test::has_generic_input_operator<PlainParser<>,value_type>::value ||
                           structural_helper<T, pm::is_parseable>::value;
};

template <typename T>
struct is_parseable_or_serializable {
   static const bool value=is_parseable<T>::value || has_serialized<T>::value;
};

template <typename T>
struct is_printable {
   typedef typename deref<T>::type value_type;
   static const bool value=io_test::has_std_output_operator<value_type>::value ||
                           io_test::has_generic_output_operator<PlainPrinter<>,value_type>::value ||
                           structural_helper<T, pm::is_printable>::value;
};

template <typename T>
struct is_printable< Serialized<T> > : std::false_type {};

template <typename T>
struct is_printable_or_serializable {
   static const bool value=is_printable<T>::value || has_serialized<T>::value;
};

template <typename T>
struct is_readable {
   static const bool value=is_parseable_or_serializable<T>::value || structural_helper<T, pm::is_readable>::value;
};

template <typename T>
struct is_writeable {
   static const bool value=is_printable_or_serializable<T>::value || structural_helper<T, pm::is_writeable>::value;
};

}

#endif // POLYMAKE_GENERIC_IO_H

// Local Variables:
// mode:C++
// c-basic-offset:3
// indent-tabs-mode:nil
// End:
